Research on Filtered Back Projection Reconstruction Algorithm

Study of filtered back projection reconstruction algorithm using phantom images as examples, involving filter construction and image reconstruction with implementation details

2D Matching Pursuit Algorithm

The 2D Matching Pursuit algorithm achieves precise image reconstruction using fewer subspace comparisons, with progressively improved approximation to the source image as iteration count increases. Implementation typically involves greedy iterative selection of optimal dictionary atoms and residual updates.

Filtered Backprojection Reconstruction with Configurable Window Functions

Implement image reconstruction using filtered backprojection method with selectable window functions for spectral filtering, including Hanning, Hamming, and Blackman windows.